Munich, Germany

Martin Bokeloh

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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3 patents (USPTO):

Title: Martin Bokeloh: Innovator in Robotic Image Processing

Introduction

Martin Bokeloh is a distinguished inventor based in Munich, Germany. He has made significant contributions to the field of robotic image processing, holding a total of 3 patents. His innovative work focuses on enhancing the capabilities of robots in understanding and manipulating objects through advanced image processing techniques.

Latest Patents

Bokeloh's latest patents include groundbreaking methods and systems for source-agnostic image processing. This technology involves processing image data to generate an intermediate representation that aids robots in object manipulation. One method entails receiving an input image that displays an object to be manipulated, processing it to create gradient orientation and magnitude representations, and utilizing a neural network to predict the physical characteristics of the object.

Another notable patent addresses robot motion planning while accounting for object pose estimation accuracy. This invention outlines methods for generating candidate measurement configurations for objects, determining their respective measurement accuracies, and creating a motion plan that ensures high accuracy during robotic operations.

Career Highlights

Martin Bokeloh is currently employed at Intrinsic Innovation LLC, where he continues to push the boundaries of robotic technology. His work has been instrumental in developing systems that enhance the interaction between robots and their environments.

Collaborations

Bokeloh collaborates with talented individuals such as Martina Marek and Stefan Hinterstoisser, contributing to a dynamic team focused on innovation in robotics.

Conclusion

Martin Bokeloh's contributions to robotic image processing exemplify the intersection of technology and innovation. His patents not only advance the field but also pave the way for future developments in robotics.

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